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Data Warehouse Architect Jobs (NOW HIRING)

Data Warehouse Architect We are seeking an experienced Data Warehouse Architect to join the Child Welfare Data Warehouse team. The ideal candidate will support the development of federal reporting ...

Data Warehouse Architect We pride ourselves for having one of the fastest growth rate and also the lowest turnover rates in the industry just 2.5 percent annually. We focus on the training and ...

Summary The Senior Enterprise Data Warehouse Architect is responsible for designing, implementing, and maintaining enterprise-level data & database designs, supporting data warehousing and advanced ...

Data Warehouse Architect Location: Herndon/Reston, VA Type: Full-Time Required Skills: * Rich experience in Data Warehouse of overall 12+ years of experience into Data Warehouse arena, primarily ...

Data Warehouse Architect Location : Lansing, MI Duration : 1 year with possible extension Interview Process: Virtual Interview via MS Teams. Work Mode: Position will be hybrid, in office 2 days a ...

Data Warehouse Architect Chesterfield, VA Candidate will be expected to create and modify Workday inbound and outbound interfaces. To manage these interfaces the candidate will need experience with ...

Responsible for the ongoing architecture and design of the data warehouse, data mart, and reporting environments. Develop strategies for flexibility and scalability, and define the future technical ...

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How much do data warehouse architect jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for data warehouse architect in the United States is $65.82, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $76.44 per hour, depending on experience, location, and employer.

What Is a Data Warehouse Architect?

Data warehouse architects design and maintain data management solutions. As a data warehouse architect, your job duties include analyzing your company’s data needs, developing database management solutions, and deploying data management software for storing and retrieving data from cloud or machine storage. In your daily work, you use software and databases such as Oracle, SQL, Java, J2EE, or Cognos. You need strong analytical and technical skills along with the ability to see the bigger picture regarding data needs to succeed in data warehouse architect jobs.

What is the difference between Data Warehouse Architect vs Data Engineer?

AspectData Warehouse ArchitectData Engineer
CredentialsTypically requires a degree in Computer Science or related field, with certifications like AWS Certified Data Analytics or Microsoft Certified: Azure Data EngineerSimilar credentials, often with certifications in cloud platforms and programming languages
Work EnvironmentDesigns and plans data warehouse solutions, collaborates with architects and business teamsBuilds, maintains, and optimizes data pipelines and infrastructure
Industry UsageCommonly employed in organizations with large-scale data storage needsWorks across industries to develop data processing systems

The Data Warehouse Architect focuses on designing the overall data storage solutions, while the Data Engineer implements and maintains the data pipelines. Both roles require similar skills and certifications but differ in their primary responsibilities within data management projects.

What are the key skills and qualifications needed to thrive as a Data Warehouse Architect, and why are they important?

To thrive as a Data Warehouse Architect, you need deep expertise in data modeling, database design, ETL processes, and a strong understanding of data warehousing concepts, typically supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, ETL platforms (like Informatica or Talend), and cloud data warehousing solutions (such as Amazon Redshift or Snowflake) is crucial, and certifications in these technologies are often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you bridge business requirements with technical solutions and collaborate across teams. These skills and qualities are essential for designing scalable, reliable data architectures that enable informed decision-making and support organizational growth.

What is a Data Warehouse Architect?

A Data Warehouse Architect is a specialized IT professional responsible for designing, building, and maintaining an organization's data warehouse systems. They create the architecture that allows large volumes of data to be collected, stored, and accessed efficiently for analysis and reporting. Data Warehouse Architects work with stakeholders to understand business requirements, choose appropriate database technologies, and ensure data integrity and security. Their role is critical for enabling data-driven decision making within an organization.

How does a Data Warehouse Architect typically collaborate with data engineers and business analysts during a project?

A Data Warehouse Architect works closely with data engineers to design and implement the underlying data infrastructure, ensuring that data flows efficiently from various sources into the warehouse. They also partner with business analysts to understand reporting needs and translate business requirements into technical specifications. Regular meetings and documentation help ensure alignment across teams, and the architect often guides both groups on best practices for data modeling and integration. This collaboration is key to delivering scalable, user-friendly data solutions that meet organizational goals.
What cities are hiring for Data Warehouse Architect jobs? Cities with the most Data Warehouse Architect job openings:
What are the most commonly searched types of Data Warehouse Architect jobs? The most popular types of Data Warehouse Architect jobs are:
Who are the top companies hiring for Data Warehouse Architect jobs? The top employers for Data Warehouse Architect jobs are:
What states have the most Data Warehouse Architect jobs? States with the most job openings for Data Warehouse Architect jobs include:
Infographic showing various Data Warehouse Architect job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $136,908 per year, or $65.8 per hour.

Data Warehouse Architect

Damco

Lansing, MI • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Warehouse Architect

We are seeking an experienced Data Warehouse Architect to join the Child Welfare Data Warehouse team. The ideal candidate will support the development of federal reporting systems (e.g., NYTD, AFCARS, NCANDS), ad-hoc analytics, ETL pipelines, and Business Objects reporting to facilitate data-driven decision-making across the department.

Position: Data Warehouse Architect 5

Location: Lansing, MI

Position: 1 Closing: 4/14/2025 Work: Hybrid Address: Lansing, MI Projected start date: 05/05/2025

Responsibilities:
  • Collaborate with operational SACWIS/CCWIS developers to maintain data alignment between systems and the data warehouse.
  • Design, implement, and manage ETL processes for data extraction, transformation, and loading.
  • Build and maintain data warehouse applications including dashboards, reports, and data visualizations.
  • Support end-user and developer training, and provide ongoing technical support.
  • Work directly with agency requestors to understand data needs and build custom solutions.
  • Assist federal reporting teams with optimizing database queries and ensuring data accuracy.
Required Skills:
  • 3+ years of experience with Teradata Cloud (v17.20 preferred)
  • 3+ years of experience with Business Objects XI and/or Power BI
  • 3+ years performing ETL processes
  • Bachelor's Degree
Preferred Experience:
  • Federal reporting background (e.g., NYTD, AFCARS, NCANDS)
  • Experience working in a public sector or state government environment
Technical Environment:
  • Data Warehouse Platform: Teradata Cloud 17.20
  • Reporting Tools: Business Objects XI 4.2 SP4 (on Windows 2012), Power BI
  • ETL & BI: Data warehouse-based applications, dashboards, reporting, visualizations
  • Platform: Shared cloud platform with other State of Michigan departments

Interview Process: Virtual Interviews via MS Teams. A screenshot photo of candidate will be required for any interviews as well as a vendor present at beginning of virtual interview to validate candidate. Duration: 1 year with possible extension. Remote or On-site: Accepting local candidates ONLY. Position will be hybrid, in office 2 days a week upon start and there is NO REMOTE ONLY option.